Digit 360
Digit 360 is an artificial fingertip-shaped tactile sensor developed by Meta AI Research in partnership with GelSight, announced October 31, 2024. It digitizes touch with human-level precision, featuring over 18 sensing modalities for rich tactile data including spatial details, forces as low as 1 millinewton, and omnidirectional surface deformations. GelSight will manufacture and distribute it for robotics research, with early access via proposals and wide availability targeted for 2025, advancing touch perception in AI and dexterous manipulation.
Robot Specifications
- Physical & Basic InformationPhysical & Basic
- Performance, Sensing & Control
- Software, Logistics & Integration
Hand Type
anthropomorphic
Intended Robot Type
research
Number of Fingers
1 (fingertip design)
Status
prototype
Thumb Config
opposable
Total DOF
0 (Estimated) (sensor only, no actuation)
DOF Per Finger
0 (Estimated)
Independent Actuators
0
Underactuated Design
no
Palm Width (mm)
N/A
Hand Length (mm)
42mm (compact fingertip form factor per GelSight standards)
Hand Thickness (mm)
15-25 (Estimated) (fingertip profile)
Weight (g)
28 (low-cost compact design similar to original Digit)
Finger Link Segments
1 (fingertip)
Finger Joint Types
N/A
Actuator Type
Not disclosed by manufacturer
Available Countries
USA (GelSight), Global (Subject to export restrictions)
Materials
elastomeric gel, optical components, on-device AI chip (Estimated: silicone-like elastomer for sensing surface)
Image Gallery
Below images are from Meta's official sources
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Frequently Asked Questions
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Q1. What is the humanoid robot hand Digit 360, and what problem does it solve?
Digit 360 is a fingertip-shaped tactile sensor developed by GelSight and Meta AI for robotic fingers. It digitizes touch to provide detailed spatial and force data, addressing limitations in robotic perception of object surfaces and contact physics.
Q2. What are the main capabilities and key features of Digit 360?
Digit 360 features over 18 sensing modalities, high-resolution imaging-based tactile sensing, and omnidirectional touch detection. According to developers, it captures multi-modal signals for advancing touch perception in robotics.
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